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								<h3 class="special-head gradient-text cyan mt-s">团物火花-物联网数据分析平台</h3>
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								<h1 class="cd-headline clip is-full-width thin" style="line-height: 1.7;"><span
										class="w-text bold">帮助用户对物联网数据资产进行统一的管理、分析，助力物联网企业实现数据化，通过数据分析产生更多的业务价值。 </span>
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							<p class="g-text fadeInUp" data-wow-delay="0.3s">实时运行监测、设备开机调试、预防性维护、故障大数据分析、能耗报表、生命周期信息展示等。
								多维度业绩数据分析，帮助企业及时调整销售策略，订单管理、项目报备等，帮助企业保障市场秩序，更加高效的管理零配件的排产。
								服务的智能化
								实现设备故障的远程诊断，远程升级设备主控程序，提高售后服务效率，减少无效出差；建立高效闭环的服务流程，提高服务的质量

								集成的智能化
								快速与企业ERP集成，比如用友U8、畅捷通T+Cloud，简化企业业务流程、一单到底，实现全局数据的快速、无阻流动，驱动企业数据化经营。</p>
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						<h6 class="bold">低成本存储&分析</h6>
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							低成本的海量数据存储能力，可存储102年数据，满足对历史数据分析需要

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						<h6 class="bold">IT/OT数据融合</h6>
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							业务数据可方便连接，融合设备数据，构建物联网数据价值

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						<h6 class="bold">多样的分析能力</h6>
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							支持时序分析/流分析等多样的数据分析能力，满足物联网的复杂分析需要
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							通过拖拽、可视化等方式，让运营同学也能轻松分析物联网数据</p>
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							与IoT Studio深度无缝打通，可满足物联网场景的所有可视化展现需要</p>
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								低成本的海量数据的存储计算能力，满足对物联网历史数据的分析存储需要
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										<div class="text width-80">基于大数据的存储和计算能力，有效降低成本</div>
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								全面管理物联网数据资产，从设备数据到业务数据，并且提供底成本的存储方案。</p>
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										<div class="text width-80">业务数据可方便连接，与自动结构化好的设备数据无缝连接</div>
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										<div class="text width-80">以设备为中心的标签体系能力，更贴合业务理解</div>
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								时序分析、物分析等多种分析能力，配合简单操作，运营同学也能轻松使用
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										<div class="text width-80">针对物联网时序数据的实时、可视化分析</div>
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										<div class="text width-80">基于物标签的可视化分析工具</div>
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										<h3><a href="iota.html#">SQL分析</a></h3>
										<div class="text width-80">通过SQL语句快速分析物联网数据</div>
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								离线、实时数据开发能力，可完成IoT数据的深入加工分析
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										<div class="text width-80">针对历史数据进行深度的加工分析</div>
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										<div class="text width-80">提供实时数据的流分析能力，对设备数据进行高效加工分析</div>
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			<h2 class="b-text fadeInUp" data-wow-delay="0.2s">场景效益</h2>
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					<h3 class="bold mb-15">环境监测</h3>
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						在环境监测领域不同场景下存在大量不同类型的传感器设备，物联网数据分析能够帮助开发者将设备数据与自身业务数据相融合，深度挖掘物联网数据价值。此外，配合物联网应用开发（IoT
						Studio），开发者能够将处理后的数据快速可视化展示，从而完成不同场景环境监测的定制化应用开发。
						配电房
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					<h3 class="bold mb-15">配电房</h3>
					<p>配电房场景下存在大量的电力设备和传感器，物联网数据分析能够帮助开发者从海量的设备数据中快速发现背后隐藏的数据价值，并与物联网应用开发（IoT
						Studio）相结合，在满足不同场景定制化需求的同时，最大化配电房场景下的物联网应用价值。</p>
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